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Cited by 616

The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.

Functional designed to include surface effects in self-consistent density functional theory

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Armiento, R., Mattsson, A. E.·2005·Physical Review B

Abstract

We design a density-functional-theory (DFT) exchange-correlation functional that enables an accurate treatment of systems with electronic surfaces. Surface-specific approximations for both exchange and correlation energies are developed. A subsystem functional approach is then used: an interpolation index combines the surface functional with a functional for interior regions. When the local density approximation is used in the interior, the result is a straightforward functional for use in self-consistent DFT. The functional is validated for two metals (Al, Pt) and one semiconductor (Si) by calculations of (i) established bulk properties (lattice constants and bulk moduli) and (ii) a property where surface effects exist (the vacancy formation energy). Good and coherent results indicate that this functional may serve well as a universal first choice for solid-state systems and that yet improved functionals can be constructed by this approach.

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Metadata

Authors
Armiento, R., & Mattsson, A. E.
Venue
Physical Review B
Published
2005-08-04
Volume
72
Issue
8
ISSN
  • 1098-0121 (ISSN-L)
  • 1550-235X
OpenAlex
W2139060521
Cited by
616
References
20
FWCI
4.10
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Functional designed to include surface effects in self-consistent density functional theory. https://app.cochat.ai/papers/10.1103/physrevb.72.085108
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Armiento, R., & Mattsson, A. E. (2005). Functional designed to include surface effects in self-consistent density functional theory. Physical Review B. https://doi.org/10.1103/physrevb.72.085108

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.